Constantin Pape
@cppape.bsky.social
Group leader @ Uni Göttingen for Computational Cell Analytics. Working on AI for biology and medicine with a focus on microscopy image analysis with deep learning.
https://user.informatik.uni-goettingen.de/~pape41/
https://user.informatik.uni-goettingen.de/~pape41/
2. We added preliminary support for automatic tracking via trackastra, developed by @maweigert.bsky.social.
See the video for an example result and check out computational-cell-analytics.github.io/micro-sam/mi... for details.
See the video for an example result and check out computational-cell-analytics.github.io/micro-sam/mi... for details.
March 28, 2025 at 7:08 PM
2. We added preliminary support for automatic tracking via trackastra, developed by @maweigert.bsky.social.
See the video for an example result and check out computational-cell-analytics.github.io/micro-sam/mi... for details.
See the video for an example result and check out computational-cell-analytics.github.io/micro-sam/mi... for details.
Our models form the basis of micro_sam, our napari plugin for interactive and automatic segmentation. It can segment data in 2D, 3D and across time.
You can find all the details at github.com/computationa...
You can find all the details at github.com/computationa...
February 12, 2025 at 11:41 AM
Our models form the basis of micro_sam, our napari plugin for interactive and automatic segmentation. It can segment data in 2D, 3D and across time.
You can find all the details at github.com/computationa...
You can find all the details at github.com/computationa...
Announcing PathoSAM, our foundation model for nucleus segmentation in histopathology. PathoSAM supports interactive and automatic nucleus segmentation (instance and semantic). See segmentation on a WSI from openslide, check out arxiv.org/abs/2502.00408 or read on for details.
February 11, 2025 at 6:15 AM
Announcing PathoSAM, our foundation model for nucleus segmentation in histopathology. PathoSAM supports interactive and automatic nucleus segmentation (instance and semantic). See segmentation on a WSI from openslide, check out arxiv.org/abs/2502.00408 or read on for details.